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(#3770)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/executorch/pull/3770\n\n## The Operator\n`nn.Module` invocations of [`torch.nn.AvgPool2d`](https://pytorch.org/docs/stable/generated/torch.nn.AvgPool2d.html) get compiled to `aten.avg_pool2d.default` in the Edge Dialect, which carries the following signature.\n```\n- func: avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor\n```\n\n## Implementation\nThis is a full C-packing implementation including dynamic shape support. We start with [LiteInterpreter's `avg_pool2d.glsl` logic](https://github.com/pytorch/pytorch/blob/9257a0698b57acc5607ee6fe31a16fdd93af1731/aten/src/ATen/native/vulkan/glsl/avg_pool2d.glsl), which is incomplete, and cover `ceil_mode=True`, `count_include_pad=True`, and `divisor_override` cases for full support. As a result, the divisor's computation is now a bit complex. If needed, we can simplify it into separate shaders in the future.\nghstack-source-id: 228476264\n\nReviewed By: copyrightly\n\nDifferential Revision: D57918523\n\nfbshipit-source-id: 8069c4a2dcc5d46da7221d58661e57bf2055b521","shortMessageHtmlLink":"aten.avg_pool2d (#3770)"}},{"before":"8d6f7fb1fbd487edd5f575dc85ed4353c550d867","after":"b45602c0a70806bbefcf86799cae9b042d071002","ref":"refs/heads/release/0.2","pushedAt":"2024-05-31T20:17:03.000Z","pushType":"pr_merge","commitsCount":1,"pusher":{"login":"mcr229","name":"Max Ren","path":"/mcr229","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/40742183?s=80&v=4"},"commit":{"message":"Fresh setup m1 (#3759) (#3791)\n\nSummary: Pull Request resolved: https://github.com/pytorch/executorch/pull/3759\r\n\r\nReviewed By: mcr229\r\n\r\nDifferential Revision: D57887358\r\n\r\nPulled By: guangy10\r\n\r\nfbshipit-source-id: 8e63de15fafb498b05828440ac8d8c51204e8042\r\n(cherry picked from commit 26daed7363a4a544e1194f76edfb2585b3b1e4e3)\r\n\r\nCo-authored-by: Guang Yang ","shortMessageHtmlLink":"Fresh setup m1 (#3759) (#3791)"}},{"before":"51414477419c116742f9a807821b7aeccc39348a","after":"11efa3960749959fbeaea598d201542940ee585a","ref":"refs/heads/gh-pages","pushedAt":"2024-05-31T19:21:43.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"github-actions[bot]","name":null,"path":"/apps/github-actions","primaryAvatarUrl":"https://avatars.githubusercontent.com/in/15368?s=80&v=4"},"commit":{"message":"Auto-generating sphinx docs","shortMessageHtmlLink":"Auto-generating sphinx docs"}},{"before":"70e33954c14164c84d0852be163fb6d6e2da38a7","after":"8c8d9652ab85b84f8b1b00cbdc9a9569fdd0f86c","ref":"refs/heads/main","pushedAt":"2024-05-31T19:13:58.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"facebook-github-bot","name":"Facebook Community Bot","path":"/facebook-github-bot","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/6422482?s=80&v=4"},"commit":{"message":"Enable operator<< for Half tensor (#3779)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/executorch/pull/3779\n\nUseful for debugging `Half` i.e. `fp16` models, when we have `EValue`s that are `Half` dtype and we do the following:\n```\nstd::cout << \"===== INPUT =====\" << std::endl;\nfor (EValue& v : inputs) {\n std::cout << v << std::endl;\n}\n\nstd::cout << \"===== OUTPUT =====\" << std::endl;\nfor (EValue& v : outputs) {\n std::cout << v << std::endl;\n}\n```\n\n## Before\n```\n===== INPUT =====\ntensor(sizes=[1, 3, 96, 72], [])\n===== OUTPUT =====\ntensor(sizes=[1, 2, 96, 72], [])\n```\n\n## After\n```\n===== INPUT =====\ntensor(sizes=[1, 3, 96, 72], [0.279785, 0.271484, 0.364746, ..., 0.150391, 0.836426, 0.019043])\n===== OUTPUT =====\ntensor(sizes=[1, 2, 96, 72], [18.2344, -10.0938, 1.35059, ..., -33.6875, 4.07422, -22.5312])\n```\nghstack-source-id: 228461839\n\nReviewed By: copyrightly\n\nDifferential Revision: D57977366\n\nfbshipit-source-id: a9ba1c11f75af85dcf7c91b9b06b4ec3333455bc","shortMessageHtmlLink":"Enable operator<< for Half tensor (#3779)"}},{"before":null,"after":"0f4d1c9336897d93b245f7cd66d57c44c90ef86c","ref":"refs/heads/cherry-pick-3759-by-pytorch_bot_bot_","pushedAt":"2024-05-31T18:55:17.000Z","pushType":"branch_creation","commitsCount":0,"pusher":{"login":"pytorchbot","name":null,"path":"/pytorchbot","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/21957446?s=80&v=4"},"commit":{"message":"Fresh setup m1 (#3759)\n\nSummary: Pull Request resolved: https://github.com/pytorch/executorch/pull/3759\n\nReviewed By: mcr229\n\nDifferential Revision: D57887358\n\nPulled By: guangy10\n\nfbshipit-source-id: 8e63de15fafb498b05828440ac8d8c51204e8042\n(cherry picked from commit 26daed7363a4a544e1194f76edfb2585b3b1e4e3)","shortMessageHtmlLink":"Fresh setup m1 (#3759)"}},{"before":"d6bf969384088a6a77a0d443e1799e6cb8aad70c","after":"51414477419c116742f9a807821b7aeccc39348a","ref":"refs/heads/gh-pages","pushedAt":"2024-05-31T18:13:55.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"github-actions[bot]","name":null,"path":"/apps/github-actions","primaryAvatarUrl":"https://avatars.githubusercontent.com/in/15368?s=80&v=4"},"commit":{"message":"Auto-generating sphinx docs","shortMessageHtmlLink":"Auto-generating sphinx docs"}}],"hasNextPage":true,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"djE6ks8AAAAEWnczcwA","startCursor":null,"endCursor":null}},"title":"Activity ยท pytorch/executorch"}